How deceptive are deceptive visualizations? An empirical analysis of common distortion techniques

Anshul Vikram Pandey, Katharina Rall, Margaret L. Satterthwaite, Oded Nov, Enrico Bertini

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this paper, we present an empirical analysis of deceptive visualizations. We start with an in-depth analysis of what deception means in the context of data visualization, and categorize deceptive visualizations based on the type of deception they lead to. We identify popular distortion techniques and the type of visualizations those distortions can be applied to, and formalize why deception occurs with those distortions. We create four deceptive visualizations using the selected distortion techniques, and run a crowdsourced user study to identify the deceptiveness of those visualizations. We then present the findings of our study and show how deceptive each of these visual distortion techniques are, and for what kind of questions the misinterpretation occurs. We also analyze individual differences among participants and present the effect of some of those variables on participants' responses. This paper presents a first step in empirically studying deceptive visualizations, and will pave the way for more research in this direction.

    Original languageEnglish (US)
    Title of host publicationCHI 2015 - Proceedings of the 33rd Annual CHI Conference on Human Factors in Computing Systems
    Subtitle of host publicationCrossings
    PublisherAssociation for Computing Machinery
    Pages1469-1478
    Number of pages10
    ISBN (Electronic)9781450331456
    DOIs
    StatePublished - Apr 18 2015
    Event33rd Annual CHI Conference on Human Factors in Computing Systems, CHI 2015 - Seoul, Korea, Republic of
    Duration: Apr 18 2015Apr 23 2015

    Publication series

    NameConference on Human Factors in Computing Systems - Proceedings
    Volume2015-April

    Other

    Other33rd Annual CHI Conference on Human Factors in Computing Systems, CHI 2015
    CountryKorea, Republic of
    CitySeoul
    Period4/18/154/23/15

    Keywords

    • Deceptive visualization
    • Empirical analysis
    • Evaluation

    ASJC Scopus subject areas

    • Software
    • Human-Computer Interaction
    • Computer Graphics and Computer-Aided Design

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  • Cite this

    Pandey, A. V., Rall, K., Satterthwaite, M. L., Nov, O., & Bertini, E. (2015). How deceptive are deceptive visualizations? An empirical analysis of common distortion techniques. In CHI 2015 - Proceedings of the 33rd Annual CHI Conference on Human Factors in Computing Systems: Crossings (pp. 1469-1478). (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2015-April). Association for Computing Machinery. https://doi.org/10.1145/2702123.2702608